The graph represents a network of 19 Twitter users whose recent tweets contained "agriculture portugal", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 14 January 2022 at 16:11 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 1-minute period from Thursday, 06 January 2022 at 13:08 UTC to Thursday, 13 January 2022 at 10:09 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 19
Unique Edges : 20
Edges With Duplicates : 0
Total Edges : 20
Number of Edge Types : 5
Retweet : 10
Tweet : 6
Replies to : 2
MentionsInRetweet : 1
Mentions : 1
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 7
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 8
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.258427
Graph Density : 0.0409356725146199
Modularity : 0.645
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 19 Twitter users whose recent tweets contained "agriculture portugal", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 14 January 2022 at 16:11 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 1-minute period from Thursday, 06 January 2022 at 13:08 UTC to Thursday, 13 January 2022 at 10:09 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : agriculture portugal
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8] #portugal,#archaeology [8] #archaeology,#heritage [8] #heritage,roman [8] roman,ruins [8] ruins,#vilamoura [8] #vilamoura,#algarve [8] #algarve,2nd [8] 2nd,century [8] century,ad [8] ad,land Top Word Pairs in Tweet in G1:
[8] #portugal,#archaeology [8] #archaeology,#heritage [8] #heritage,roman [8] roman,ruins [8] ruins,#vilamoura [8] #vilamoura,#algarve [8] #algarve,2nd [8] 2nd,century [8] century,ad [8] ad,land Top Word Pairs in Tweet in G2:
[2] zeitgeistfilm,universe [2] universe,13 [2] 13,billions [2] billions,planet [2] planet,earth [2] earth,billion [2] billion,dinosaurs [2] dinosaurs,reigned [2] reigned,supreme [2] supreme,earth Top Word Pairs in Tweet in G3:
[2] geology,geoconservation [2] geoconservation,biodiversity [2] biodiversity,natura [2] natura,20000 [2] 20000,network [2] network,education [2] education,sustainable [2] sustainable,development [2] development,agriculture [2] agriculture,food Top Word Pairs in Tweet in G5:
[2] atlantic,brings [2] brings,#agriculture [2] #agriculture,#forest [2] #forest,#cadastre [2] #cadastre,stakeholders [2] stakeholders,discuss [2] discuss,#spacedata [2] #spacedata,initiative [2] initiative,aims [2] aims,leverage Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: